code: def test_estimate_spectral_norm_diff(self, A):
      B = A.copy()
      B[:, 0] *= 1.2
      s = svdvals(A - B)
      norm_2_est = pymatrixid.estimate_spectral_norm_diff(A, B)
      assert_(np.allclose(norm_2_est, s[0], 1e-6))
  
imports: import scipy.linalg.interpolative
  import numpy
  from scipy.linalg import hilbert, svdvals, norm
  from scipy.sparse.linalg import aslinearoperator
  from scipy.linalg.interpolative import interp_decomp
  import itertools
  from numpy.testing import assert_, assert_allclose, assert_equal, assert_array_equal
  import pytest
  from pytest import raises
  import sys
label_desc: Use image node_id 8 for calling the TestInterpolativeDecomposition obj's underlying member method code with example usage: obj.test_estimate_spectral_norm_diff(A) without return types